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Tag: Concepts
Deep Learning: Foundations and Concepts by Christopher M. Bishop Hardcover Book
Deep Learning: Foundations and Concepts by Christopher M. Bishop Hardcover Book
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Deep Learning: Foundations and Concepts by Christopher M. Bishop is a comprehensive guide to understanding the fundamental principles of deep learning. This hardcover book delves into the key concepts and techniques that are essential for mastering this cutting-edge technology.In this book, Bishop provides insights into the mathematical foundations of deep learning, including neural networks, optimization algorithms, and regularization techniques. He also explores advanced topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks.
With a focus on both theory and practical applications, Deep Learning: Foundations and Concepts equips readers with the knowledge and skills needed to develop and deploy deep learning models in various domains, such as computer vision, natural language processing, and reinforcement learning.
Whether you are a beginner looking to learn the basics of deep learning or an experienced practitioner seeking to deepen your understanding of the field, this book is an invaluable resource. Pick up a copy today and embark on your journey to mastering the foundations and concepts of deep learning.
#Deep #Learning #Foundations #Concepts #Christopher #Bishop #Hardcover #BookDeep Learning: Foundations and Concepts
Price:$89.99– $78.22
(as of Nov 21,2024 14:40:58 UTC – Details)
Publisher : Springer; 2024th edition (November 2, 2023)
Language : English
Hardcover : 669 pages
ISBN-10 : 3031454677
ISBN-13 : 978-3031454677
Item Weight : 3.1 pounds
Dimensions : 7.75 x 1.5 x 10.5 inchesCustomers say
Customers find the book a great technical reference for applied deep learning. They say it explains concepts well and is an excellent introduction to anyone wanting to learn about deep learning practices. Readers also appreciate the effort put into the wording, saying it’s easy to understand and succinct.
AI-generated from the text of customer reviews
Deep Learning: Foundations and ConceptsDeep learning is a subset of machine learning that uses artificial neural networks to model and solve complex problems. It has revolutionized the field of artificial intelligence and has led to significant advancements in areas such as computer vision, natural language processing, and speech recognition.
The foundations of deep learning lie in the concept of neural networks, which are computational models inspired by the structure and function of the human brain. These networks consist of layers of interconnected nodes, or neurons, that process and transform input data to produce output predictions.
Key concepts in deep learning include:
1. Neural network architecture: The structure of a neural network, including the number of layers, the number of neurons in each layer, and the connections between neurons.
2. Activation functions: Functions that introduce non-linearity into the network, allowing it to learn complex patterns and relationships in the data.
3. Loss functions: Functions that measure the difference between the predicted output of the network and the actual output, providing a measure of how well the network is performing.
4. Backpropagation: An algorithm used to update the weights of the network based on the error calculated by the loss function, allowing the network to learn from its mistakes and improve its predictions.
By understanding these foundational concepts and principles, practitioners can build and train deep learning models to tackle a wide range of tasks and challenges. Deep learning has the potential to transform industries and society as a whole, paving the way for more intelligent and efficient systems.
#Deep #Learning #Foundations #ConceptsCloud Computing: Concepts, Technology & Architecture [The Pearson Service Techno
Cloud Computing: Concepts, Technology & Architecture [The Pearson Service Techno
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logy Series]Cloud computing has become an essential component of modern IT infrastructure, allowing organizations to access and manage their data and applications over the internet. In this post, we will explore the concepts, technology, and architecture of cloud computing as discussed in “Cloud Computing: Concepts, Technology & Architecture” by Thomas Erl and Ricardo Puttini.
The book provides a comprehensive overview of cloud computing, starting with the fundamental concepts and principles behind this technology. It covers topics such as virtualization, service-oriented architecture (SOA), and utility computing, explaining how these concepts are essential for understanding cloud computing.
The authors also delve into the various cloud computing models, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). They explain how each model offers different levels of abstraction and flexibility, allowing organizations to choose the best fit for their specific needs.
Furthermore, the book discusses the key technologies that power cloud computing, such as virtualization, distributed computing, and data storage. The authors explain how these technologies work together to enable scalable, on-demand access to resources in the cloud.
Finally, the book explores the architecture of cloud computing, highlighting the various components that make up a cloud infrastructure. From data centers and networking to security and governance, the authors provide a detailed overview of how these components interact to deliver cloud services to users.
Overall, “Cloud Computing: Concepts, Technology & Architecture” is a valuable resource for anyone looking to understand the intricacies of cloud computing. Whether you are a student, IT professional, or business leader, this book offers a comprehensive guide to the concepts, technology, and architecture that underpin this transformative technology.
#Cloud #Computing #Concepts #Technology #Architecture #Pearson #Service #TechnoHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Price:$89.99– $49.99
(as of Nov 21,2024 12:18:30 UTC – Details)From the brand
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Our customers are hungry to build the innovations that propel the world forward. And we help them do just that.
Publisher : O’Reilly Media; 3rd edition (November 8, 2022)
Language : English
Paperback : 861 pages
ISBN-10 : 1098125975
ISBN-13 : 978-1098125974
Item Weight : 2.97 pounds
Dimensions : 7 x 1.71 x 9.19 inches
In this post, we will dive into the world of machine learning with the highly acclaimed book “Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems” by Aurélien Géron.This book is a comprehensive guide that takes you through the fundamentals of machine learning and deep learning, using popular libraries such as Scikit-Learn, Keras, and TensorFlow. Whether you are a beginner or an experienced data scientist, this book provides a hands-on approach to understanding and implementing machine learning algorithms.
From building your first machine learning model to advanced topics such as neural networks and natural language processing, this book covers it all. With practical examples, code snippets, and exercises, you will learn how to build intelligent systems that can make predictions, classify data, and solve complex problems.
If you are looking to enhance your skills in machine learning and deep learning, this book is a must-read. Get ready to dive into the world of intelligent systems and unlock the full potential of machine learning with “Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow”.
#HandsOn #Machine #Learning #ScikitLearn #Keras #TensorFlow #Concepts #Tools #Techniques #Build #Intelligent #SystemsDeep Learning : Foundations and Concepts by Hugh Bishop and Christopher M….
Deep Learning : Foundations and Concepts by Hugh Bishop and Christopher M….
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Deep Learning : Foundations and Concepts by Hugh Bishop and Christopher M….In the ever-evolving field of artificial intelligence, deep learning has emerged as a powerful tool for solving complex problems and making sense of vast amounts of data. In their book “Deep Learning: Foundations and Concepts,” authors Hugh Bishop and Christopher M. provide a comprehensive overview of the fundamental principles and techniques behind this cutting-edge technology.
From neural networks to convolutional neural networks, Bishop and M. cover a wide range of deep learning models and architectures, explaining their underlying concepts and applications in a clear and accessible manner. Whether you’re a beginner looking to understand the basics or an experienced practitioner seeking to deepen your knowledge, this book offers valuable insights and practical guidance for mastering the art of deep learning.
Featuring real-world examples, hands-on exercises, and insightful case studies, “Deep Learning: Foundations and Concepts” is a must-read for anyone interested in harnessing the power of artificial intelligence to drive innovation and create impact. Get your copy today and unlock the potential of deep learning in your own projects and research endeavors.
#Deep #Learning #Foundations #Concepts #Hugh #Bishop #Christopher #M…The Collection Program in Schools: Concepts and Practices (Library and Information Science Text Series)
Price:$75.00– $45.86
(as of Nov 20,2024 15:44:46 UTC – Details)
Publisher : Libraries Unlimited; 7th edition (July 19, 2021)
Language : English
Paperback : 344 pages
ISBN-10 : 1440876630
ISBN-13 : 978-1440876639
Item Weight : 1.55 pounds
Dimensions : 7 x 0.85 x 9.95 inches
The Collection Program in Schools: Concepts and Practices (Library and Information Science Text Series)As educators, we understand the importance of having a well-curated collection of resources in schools to support student learning and development. The Collection Program in Schools: Concepts and Practices is a comprehensive text that delves into the principles and strategies behind creating and maintaining an effective collection program in educational settings.
Authored by experts in the field of library and information science, this book provides valuable insights into the key components of a collection program, including selection criteria, acquisition processes, cataloging and classification, circulation policies, and evaluation methods. The text also explores the role of technology in modern collection management, offering practical tips for integrating digital resources into traditional library collections.
Whether you are a librarian, teacher, or administrator, The Collection Program in Schools is a must-read resource for anyone involved in school library management. By implementing the concepts and practices outlined in this text, you can ensure that your school’s collection program meets the diverse needs of students and supports their academic success.
#Collection #Program #Schools #Concepts #Practices #Library #Information #Science #Text #SeriesPolicy Driven Data Center with ACI, The: Architecture, Concepts, and Methodology (Networking Technology)
Price: $50.49
(as of Nov 20,2024 15:43:01 UTC – Details)
ASIN : B00RN14G40
Publisher : Cisco Press; 1st edition (December 24, 2014)
Publication date : December 24, 2014
Language : English
File size : 24981 KB
Simultaneous device usage : Up to 5 simultaneous devices, per publisher limits
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 692 pages
Policy Driven Data Center with ACI: Architecture, Concepts, and MethodologyIn today’s fast-paced and dynamic digital landscape, data centers play a crucial role in ensuring the seamless flow of information and services. To meet the demands of modern data center environments, organizations are increasingly turning to policy-driven solutions like Cisco’s Application Centric Infrastructure (ACI).
The book “Policy Driven Data Center with ACI: Architecture, Concepts, and Methodology” provides a comprehensive guide to understanding and implementing ACI in your data center. Written by industry experts, this book covers the fundamental concepts, design principles, and best practices for deploying ACI in your organization.
From understanding the architecture of ACI to implementing policies for network automation and orchestration, this book provides a detailed roadmap for building a scalable and efficient data center infrastructure. With real-world examples and case studies, you’ll learn how to leverage ACI’s capabilities to streamline operations, improve security, and enhance the overall performance of your data center.
Whether you’re a network engineer, IT manager, or data center architect, “Policy Driven Data Center with ACI” is a must-read resource for anyone looking to harness the power of policy-driven networking in their data center environment. Stay ahead of the curve and ensure your data center is equipped to handle the challenges of tomorrow with ACI.
#Policy #Driven #Data #Center #ACI #Architecture #Concepts #Methodology #Networking #Technology